Secure CheckoutPersonal information is secured with SSL technology.
Free ShippingFree global shipping
No minimum order.
Gender Bias, Artificial Intelligence and Healthcare details the integration of sex and gender as critical factors in innovative technologies (artificial intelligence, digital medicine, natural language processing, robotics) for biomedicine and healthcare applications. By systematically reviewing existing scientific literature, a multidisciplinary group of international experts analyze diverse aspects of the complex relationship between sex and gender, health and technology, providing a perspective overview of the pressing need of an ethically-informed science. The reader is guided through the latest implementations and insights in technological areas of accelerated growth, putting forward the neglected and overlooked aspects of sex and gender in biomedical research and healthcare solutions that leverage artificial intelligence, biosensors, and personalized medicine approaches to predict and prevent disease outcomes. The reader comes away with a critical understanding of this fundamental issue for the sake of better future technologies and more effective clinical approaches.
- First comprehensive title addressing the topic of sex and gender biases and artificial intelligence applications to biomedical research and healthcare
- Co-published by the Women’s Brain Project, a leading non-profit organization in this area
- Guides the reader through important topics like the Generation of Clinical Data, Clinical Trials, Big Data Analytics, Digital Biomarkers, Natural Language Processing
Researchers, advanced graduate students, bioengineers, digital therapeutic product developers, and clinicians in the fields of neuroscience, psychiatry, biomedicine, and computer science. Regulators and policy makers
1. Introducing Women’s Brain Project towards a fair and personalized approach to human health in the era of data-driven medicine
Maria Teresa Ferretti, Antonella Santuccione Chadha, Simona Mellino
Section 1. Sex and gender differences and Precision Medicine
2. Implications of sex-specific differences on clinical studies of human health
Janet Pinero, Frances-Catherine Quevenco, Laura Furlong, Emre Guney
3. Sex and gender differences and Precision Medicine
Nataly Buslon, Sandra Racionero, Atia Cortés
Section 2. Biases in innovative technologies for Biomedicine and Health
4. Bias and fairness in machine learning and artificial intelligence
Davide Cirillo, Maria Jose Rementeria
5. Big Data in healthcare from a sex/gender perspective
Laia Subirats, Gemma Piella
6. Biases in digital biomarkers and Mobile Health
Simona Mellino, Czuee Morey, Colin Rohner
7. Sex and Gender bias in Natural Language Processing
Davide Cirillo, Hila Gonen, Enrico Santus, Alfonso Valencia, Marta R. Costa-jussà, Marta Villegas
8. Sex and gender differences in Invasive and non invasive neurotechnologies
Laura Dubreuil Vall, Tracy Laabs, Harris Eyre, Erin Smith, Silvina Catuara-Solarz
9. Robots and Affective technologies
Section 3. Towards Precision Technology
10. A unified framework for the management of sex and gender biases in Healthcare
Silvina Catuara-Solarz, Giovanni Maffei, Federico Lucchesi, Roberto Confalonieri
11. Privacy Preserving technologies
Ladina Caduff, Cornelia Kutterer, Spyridon Papasotiriou
12. Ethics and Society
Atia Cortes, Nataly Buslon, Liliana Arroyo
- No. of pages:
- © Academic Press 2021
- 1st August 2021
- Academic Press
- Hardcover ISBN:
Davide Cirillo, Ph.D. is a postdoctoral researcher at Barcelona Supercomputing Center (BSC) Computational Biology group, Life Sciences Department. Davide Cirillo received the MSc degree in Pharmaceutical Biotechnology from University of Roma ‘La Sapienza’, Italy, and the PhD degree in Biomedicine from Universitat Pompeu Fabra (UPF) and Center for Genomic Regulation (CRG) of Barcelona, Spain. His research is devoted to the development and application of computational methods in Precision Medicine with a special emphasis on Machine Learning and Artificial Intelligence.
Postdoctoral Researcher, Barcelona Supercomputing Center (BSC) Computational Biology Group, Life Sciences Department, Spain
Silvina Catuara-Solarz, Ph.D. is a translational neuroscientist with expertise in neurodevelopmental, neurodegenerative and psychiatric disorders. After earning a Ph.D. in Biomedicine by the Pompeu Fabra University that she developed at the Centre for Genomic Regulation (CRG), the Hospital del Mar Research Institute (IMIM) (Barcelona, Spain) and the University of California Irvine (Irvine, United States), she worked on target identification for drug development at Janssen Pharmaceutica (Beerse, Belgium). Driven by her interests in merging Technology and Health, she then joined the Health Moonshot at Telefonica Innovation Alpha (Barcelona, Spain) as Strategy Manager where she was involved with the development of evidence-based digital mental health solutions and their efficacy assessment. Given her conviction in the importance of sex and gender for the progress of medicine, Dr. Catuara-Solarz is an active member of the Women’s Brain Project. She has a track record of high impact scientific publications as well as books for the lay audience. Currently Dr. Catuara-Solarz is a selected member of the World Health Organisation Digital Health Roster of Experts and she serves in the European Institute of Innovation and Technology Health (EIT Health) as a project evaluator and a mentor of start-ups in the digital health and medtech sector.
Women’s Brain Project (WBP), World Health Organisation (WHO), European Institute of Innovation and Technology Health (EIT Health)
Emre Guney, Ph.D. is a Senior Research Fellow at the Research Programme on Biomedical Informatics (GRIB), at the Pompeu Fabra University (UPF) and Hospital del Mar Research Institute (IMIM) in Barcelona, Spain and works on developing computational systems biology models for network medicine. He holds a secondary appointment at the Pharmacology & Personalised Medicine department at Maastricht University in the Netherlands. He obtained a B.S. in Computer Engineering from Middle East Technical University (METU), Ph.D. in Biomedicine from Pompeu Fabra University (UPF) and spent several years as a postdoctoral scholar at the Center for Complex Network Research (CCNR) and the Center for Cancer Systems Biology (CCSB), Boston, MA, USA.
Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Research Institute (IMIM) and Pompeu Fabra University (UPF), Barcelona, Spain Pharmacology & Personalised Medicine department, Maastricht University, Maastricht the Netherlands
Elsevier.com visitor survey
We are always looking for ways to improve customer experience on Elsevier.com.
We would like to ask you for a moment of your time to fill in a short questionnaire, at the end of your visit.
If you decide to participate, a new browser tab will open so you can complete the survey after you have completed your visit to this website.
Thanks in advance for your time.